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» Algorithms for Learning Regular Expressions
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ICFP
2008
ACM
16 years 1 months ago
HMF: simple type inference for first-class polymorphism
HMF is a conservative extension of Hindley-Milner type inference with first-class polymorphism. In contrast to other proposals, HML uses regular System F types and has a simple ty...
Daan Leijen
DOCENG
2003
ACM
15 years 6 months ago
Handling syntactic constraints in a DTD-compliant XML editor
By exploiting the theories of automata and graphs, we propose algorithms and a process for editing valid XML documents [4][5]. The editing process avoids syntactic violations alto...
Y. S. Kuo, Jaspher Wang, N. C. Shih
KAIS
2007
97views more  KAIS 2007»
15 years 1 months ago
Stability of feature selection algorithms: a study on high-dimensional spaces
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
AAAI
2008
15 years 3 months ago
HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
Chad Hogg, Héctor Muñoz-Avila, Ugur ...
132
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CVPR
2011
IEEE
14 years 9 months ago
Bayesian Deblurring with Integrated Noise Estimation
Conventional non-blind image deblurring algorithms involve natural image priors and maximum a-posteriori (MAP) estimation. As a consequence of MAP estimation, separate pre-process...
Uwe Schmidt, Kevin Schelten, Stefan Roth